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Extended State based Planning Approach for Deep Space Exploration
IEEE Transactions on Aerospace and Electronic Systems ( IF 5.1 ) Pub Date : 2019-01-01 , DOI: 10.1109/taes.2019.2920046
Hao Jin , Rui Xu , Wenming Xu , Shengying Zhu

This paper deals with a new modeling method and a powerful planning approach for deep space probes. The key technique is based on the concept of extended state model. Furthermore, extended state model planning (ESMP) algorithm is designed to be fully compliant with the model, and flaw selection strategies are proposed to avoid redundant work. Finally, we discuss the time complexity of ESMP, and computational results comparing ESMP with the algorithm in Europa are presented.

中文翻译:

深空探索的扩展状态规划方法

本文讨论了一种新的建模方法和一种强大的深空探测器规划方法。关键技术是基于扩展状态模型的概念。此外,扩展状态模型规划(ESMP)算法被设计为完全符合模型,并提出了缺陷选择策略以避免冗余工作。最后,我们讨论了 ESMP 的时间复杂度,并给出了 ESMP 与 Europa 算法比较的计算结果。
更新日期:2019-01-01
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